Search Results for author:
Found 2 papers, 1 papers with code
A SWAT-based Reinforcement Learning Framework for Crop Management
Crop management involves a series of critical, interdependent decisions or actions in a complex and highly uncertain environment, which exhibit distinct spatial and temporal variations.
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management
The trained models are being deployed on small-holding farms in central Texas.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
